Artificial Intelligence Medical Compendium

Storage temperature, humidity, and time jointly influence pathogen growth in dairy products, yet most rapid detection methods are validated under single-variable conditions that do not represent real supply chain scenarios. Testing across these combi... read more 

Lymph node status is fundamental for staging, prognostic assessment, and treatment decision-making in colorectal cancer (CRC); however, current pathological evaluation largely focuses on metastatic involvement and overlooks the biological heterogenei... read more 

OBJECTIVE: We developed and validated interpretable machine learning models predicting successful weaning and survival to ICU discharge in patients with moderate-to-severe acute respiratory distress syndrome (ARDS) secondary to pneumonia receiving pr... read more 

OBJECTIVES: Chronic high-altitude hypoxia induces adaptive erythrocytosis, but the relationship between hemoglobin (Hb) and obstructive sleep apnea (OSA) remains unclear. We examined the association between Hb levels and OSA severity and explored sho... read more 

BACKGROUND: Neutrophil extracellular traps (NETs) are involved in the pathological progression of multiple sclerosis (MS), yet the intrinsic molecular mechanism by which NETs mediate the progression of MS remains unclear. METHODS: Differentially expr... read more 

BACKGROUND: Hypertension remains a major contributor to stroke burden; however, conventional blood pressure measurements do not fully capture the heterogeneous biological processes underlying cerebrovascular risk. Residual risk may persist despite ap... read more 

BACKGROUND: Generative artificial intelligence (GAI) chatbots are frequently used for mental health-related questions, including suicide-related queries. User interfaces (UIs) may include additional safety controls not present in direct application p... read more 

BACKGROUND: Adverse event reports referring to the same case but treated as independent can negatively impact statistical analysis and may mislead clinical assessment. Pharmacovigilance relies on large databases of adverse event reports to discover p... read more 

BACKGROUND: Limited recent literature has evaluated the use of large language models (LLMs) in the qualitative analysis of health data; more research is needed to expand the generalizability of LLM use and to evaluate potential ethical considerations... read more 

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